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In this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussi
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本文实现二级倒立摆数学模型的推导，状态空间描述以及状态反馈和状态观测器的实现！比较有无状态观测器对系统运动的影响！-This paper presents two mathematical models of the derivation of the inverted pendulum, the state-space representation, as well as state feedback and state observer to achieve! Comparison of a
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documentation for optimal filtering toolbox for mathematical software
package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter
and unscented Kalman filter for discrete time state space models. Also included in the
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Rapid Controller Prototyping (RCP) requires two components:
a Computer Aided Control System Design (CACSD)
software and a dedicated hardware with a hard real-time
operating system. The software should allow to perform all
phases of control sy
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使用SGP模型进行轨道计算的matlab源码 使用两行星历TLE-Simplified perturbations models are a set of five mathematical models (SGP, SGP4, SDP4, SGP8 and SDP8) used to calculate orbital state vectors of satellites and space debris relative to the Earth-centered inertial coo
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使用SGP模型进行轨道计算的C源码 使用两行星历TLE-Simplified perturbations models are a set of five mathematical models (SGP, SGP4, SDP4, SGP8 and SDP8) used to calculate orbital state vectors of satellites and space debris relative to the Earth-centered inertial coordina
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Subspace algorithm A method of estimating state-space models using LS techniques-Subspace algorithm
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Time series analysis codes from the book Time series analysis with applications
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